HOBS: head orientation-based selection in physical spaces. - Ben Zhang 003; Yu-Hsiang Chen; Claire Tuna; Achal Dave; Yang Li 058; Edward A. Lee; Björn Hartmann (SUI, 2014)

Predictive-Corrective Networks for Action Detection. - Achal Dave; Olga Russakovsky; Deva Ramanan (CVPR, 2017)

Towards Segmenting Anything That Moves. - Achal Dave; Pavel Tokmakov; Deva Ramanan (ICCV Workshops, 2019)

Towards Segmenting Everything That Moves. - Achal Dave; Pavel Tokmakov; Deva Ramanan (CoRR, 2019)

A systematic framework for natural perturbations from videos. - Vaishaal Shankar; Achal Dave; Rebecca Roelofs; Deva Ramanan; Benjamin Recht; Ludwig Schmidt (CoRR, 2019)

Learning to Track Any Object. - Achal Dave; Pavel Tokmakov; Cordelia Schmid; Deva Ramanan (CoRR, 2019)

TAO: A Large-Scale Benchmark for Tracking Any Object. - Achal Dave; Tarasha Khurana; Pavel Tokmakov; Cordelia Schmid; Deva Ramanan (ECCV (5), 2020)

Measuring Robustness to Natural Distribution Shifts in Image Classification. - Rohan Taori; Achal Dave; Vaishaal Shankar; Nicholas Carlini; Benjamin Recht; Ludwig Schmidt (NeurIPS, 2020)

Detecting Invisible People. - Tarasha Khurana; Achal Dave; Deva Ramanan (ICCV, 2021)

Do Image Classifiers Generalize Across Time? - Vaishaal Shankar; Achal Dave; Rebecca Roelofs; Deva Ramanan; Benjamin Recht; Ludwig Schmidt (ICCV, 2021)

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details. - Achal Dave; Piotr Dollár; Deva Ramanan; Alexander Kirillov; Ross B. Girshick (CoRR, 2021)

Deep Learning Based Semi-Blind Tracking for Aging Wireless Communication Channels. - Achal Dave; Sachit Kuhar; Ribhu Chopra (Wirel. Pers. Commun., 2021)

Open-world Object Detection and Tracking. - Achal Dave (2021)

Towards Long-Tailed 3D Detection. - Neehar Peri; Achal Dave; Deva Ramanan; Shu Kong (CoRL, 2022)

Opening up Open World Tracking. - Yang Liu; Idil Esen Zulfikar; Jonathon Luiten; Achal Dave; Deva Ramanan; Bastian Leibe; Aljosa Osep; Laura Leal-Taixé (CVPR, 2022)

Differentiable Raycasting for Self-Supervised Occupancy Forecasting. - Tarasha Khurana; Peiyun Hu; Achal Dave; Jason Ziglar; David Held; Deva Ramanan (ECCV (38), 2022)

Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP). - Alex Fang; Gabriel Ilharco; Mitchell Wortsman; Yuhao Wan; Vaishaal Shankar; Achal Dave; Ludwig Schmidt (ICML, 2022)

Shape of You: Precise 3D shape estimations for diverse body types. - Rohan Sarkar; Achal Dave; Gerard Medioni; Benjamin Biggs (CVPR Workshops, 2023)

HandsOff: Labeled Dataset Generation With No Additional Human Annotations. - Austin Xu; Mariya I. Vasileva; Achal Dave; Arjun Seshadri (CVPR, 2023)

BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. - Ali Athar; Jonathon Luiten; Paul Voigtlaender; Tarasha Khurana; Achal Dave; Bastian Leibe; Deva Ramanan (WACV, 2023)

Visual Item Selection With Voice Assistants: A systems perspective. - Prashan Wanigasekara; Rafid Al-Humaimidi; Turan Gojayev; Niloofar Gheissari; Achal Dave; Stephen Rawls; Fan Yang; Kechen Qin; Nalin Gupta; Spurthi Sandiri; Chevanthie Dissanayake; Zeynab Raeesy; et al. (WWW (Companion Volume), 2023)

Tracking Any Object Amodally. - Cheng-Yen Hsieh; Tarasha Khurana; Achal Dave; Deva Ramanan (CoRR, 2023)

Dreamitate: Real-World Visuomotor Policy Learning via Video Generation. - Junbang Liang; Ruoshi Liu; Ege Ozguroglu; Sruthi Sudhakar; Achal Dave; Pavel Tokmakov; Shuran Song; Carl Vondrick (CoRL, 2024)

Understanding Video Transformers via Universal Concept Discovery. - Matthew Kowal; Achal Dave; Rares Ambrus; Adrien Gaidon; Konstantinos G. Derpanis; Pavel Tokmakov (CVPR, 2024)

pix2gestalt: Amodal Segmentation by Synthesizing Wholes. - Ege Ozguroglu; Ruoshi Liu; Dídac Surís; Dian Chen 005; Achal Dave; Pavel Tokmakov; Carl Vondrick (CVPR, 2024)

Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis. - Basile Van Hoorick; Rundi Wu; Ege Ozguroglu; Kyle Sargent; Ruoshi Liu; Pavel Tokmakov; Achal Dave; Changxi Zheng; Carl Vondrick (ECCV (24), 2024)

Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. - Wen-Hsuan Chu; Adam W. Harley; Pavel Tokmakov; Achal Dave; Leonidas J. Guibas; Katerina Fragkiadaki (ICRA, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (CoRR, 2024)

Linearizing Large Language Models. - Jean Mercat; Igor Vasiljevic; Sedrick Keh; Kushal Arora; Achal Dave; Adrien Gaidon; Thomas Kollar (CoRR, 2024)

Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model. - Keunwoo Peter Yu; Achal Dave; Rares Ambrus; Jean Mercat (CoRR, 2024)

Detecting clinical medication errors with AI enabled wearable cameras. - Justin Chan; Solomon Nsumba; Mitchell Wortsman; Achal Dave; Ludwig Schmidt; Shyamnath Gollakota; Kelly E. Michaelsen (npj Digit. Medicine, 2024)

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. - Vitor Guizilini; Pavel Tokmakov; Achal Dave; Rares Ambrus (3DV, 2025)

Should VLMs be Pre-trained with Image Data? - Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave (ICLR, 2025)

Understanding Complexity in VideoQA via Visual Program Generation. - Cristóbal Eyzaguirre; Igor Vasiljevic; Achal Dave; Jiajun Wu 001; Rares Andrei Ambrus; Thomas Kollar; Juan Carlos Niebles; Pavel Tokmakov (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

AllTracker: Efficient Dense Point Tracking at High Resolution. - Adam W. Harley; Yang You 004; Xinglong Sun; Yang Zheng; Nikhil Raghuraman; Yunqi Gu; Sheldon Liang; Wen-Hsuan Chu; Achal Dave; Pavel Tokmakov; Suya You; Rares Ambrus; et al. (CoRR, 2025)